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torch-mlir/e2e_testing/torchscript
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Prashant Kumar f8ff6d84f4 Support aten::linear with rank 3 inputs 
Now, aten::linear supports rank 3 inputs. This is a fix
for upcoming bert-inference task. The correct way should be
to support broadcasting in `aten.matmul` op and decompose
`aten.linear` into right ops.
 		2021-11-18 22:15:04 +05:30
..
argmax.py add argmax lowering 2021-10-13 14:31:16 -04:00
backprop.py [NFC] Cleanup code for aten.gelu_backward operation. 2021-11-18 11:24:04 -05:00
basic.py Add support for multiple return values 2021-11-16 21:07:45 -05:00
batchnorm.py E2e support for layernorm. 2021-10-04 14:15:13 -04:00
conv.py Dual license the torch-mlir project. 2021-10-01 10:46:08 -07:00
elementwise.py Add Rsqrt 2021-11-09 11:08:28 -05:00
main.py Add e2e support for aten._softmax_backward_data. 2021-11-09 13:09:30 +05:30
matmul.py Add lowering of aten.matmul op. 2021-10-26 12:45:09 -04:00
mlp.py Support aten::linear with rank 3 inputs 2021-11-18 22:15:04 +05:30
quantized_models.py Dual license the torch-mlir project. 2021-10-01 10:46:08 -07:00
reduction.py Dual license the torch-mlir project. 2021-10-01 10:46:08 -07:00
type_conversion.py Add convertScalarToDtype helper. 2021-11-08 17:50:52 -05:00
type_promotion.py Add convertScalarToDtype helper. 2021-11-08 17:50:52 -05:00
view.py [MLIR][TORCH] Add E2E support for `torch.aten.view` 2021-10-29 22:33:10 +05:30
vision_models.py Add min/max/clamp support. 2021-10-27 13:29:21 -07:00
xfail_sets.py Add support for multiple return values 2021-11-16 21:07:45 -05:00